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2020 – today
- 2023
[c12]Dong-Jae Lee, Jae Young Lee, Hyunguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim:
Lightweight Monocular Depth Estimation via Token-Sharing Transformer. ICRA 2023: 4895-4901- [c11]Eojindl Yi, Junmo Kim:
Test-Time Synthetic-to-Real Adaptive Depth Estimation. ICRA 2023: 4938-4944 - [i4]Dong-Jae Lee, Jae Young Lee, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim:
Lightweight Monocular Depth Estimation via Token-Sharing Transformer. CoRR abs/2306.05682 (2023) - 2022
- [j1]Pyunghwan Ahn
, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-Based Point Convolution for Efficient Point Cloud Segmentation. IEEE Access 10: 15348-15358 (2022) - [c10]Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim:
Linear Combination Approximation of Feature for Channel Pruning. CVPR Workshops 2022: 2771-2780 - [c9]Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim:
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. ECCV (12) 2022: 121-136 - [c8]Eojindl Yi, JuYoung Yang, Junmo Kim:
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. ICRA 2022: 1-7 - [c7]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim:
Fully Convolutional Transformer with Local-Global Attention. IROS 2022: 552-559 - [c6]Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim:
Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. IROS 2022: 8360-8367 - [c5]Eojindl Yi, Junmo Kim:
Subspace-based Feature Alignment for Unsupervised Domain Adaptation. IROS 2022: 10163-10169 - [i3]Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-based Point Convolution for Efficient Point Cloud Segmentation. CoRR abs/2202.01991 (2022) - [i2]Eojindl Yi, JuYoung Yang, Junmo Kim:
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. CoRR abs/2205.11419 (2022) - 2021
- [c4]Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim:
Patch-Wise Attention Network for Monocular Depth Estimation. AAAI 2021: 1873-1881 - [c3]Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim:
Linearly Replaceable Filters for Deep Network Channel Pruning. AAAI 2021: 8021-8029 - [c2]Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim:
3D Point Cloud Upsampling and Colorization Using GAN. MIWAI 2021: 1-13 - 2020
- [c1]JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. IROS 2020: 8469-8475 - [i1]JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim:
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. CoRR abs/2011.00988 (2020)
Coauthor Index
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